Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.
Open source
24 alternativesKubeflow
vsSeldon-core
Kubeflow vs Seldon-core
How do Kubeflow and Seldon-core compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Kubeflow | Seldon-core |
|---|---|---|
| What it is | Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated. | MLOps framework to package, deploy, monitor and manage thousands of production machine learning models. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Kubeflow and Seldon-core.
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Model deployment for AI applications is supported by nndeploy, a framework described as easy to use and high performance.
Open source
24 alternatives
Roboflow provides tools to build and deploy computer vision models, from annotation to model deployment.
Freemium
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Microtica deploys and monitors cloud-native applications, with agents for infrastructure and incident resolution.
Valohai provides MLOps tools for comparing, evaluating, and shipping configurations for AI products using specialized models.